Generation Scheduling Considering Demand Response and Reliability Indices

被引:0
作者
Kwag, Hyung-Geun [1 ]
Kim, Jin-O
Kim, Kyu-Ho
机构
[1] Hanyang Univ, Dept Elect Engn, Seoul 133791, South Korea
来源
PS '09: PROCEEDINGS OF THE 9TH WSEAS INTERNATIONAL CONFERENCE ON POWER SYSTEMS | 2009年
关键词
Demand Response; reliability; demand-price elasticity; opportunity cost; ELASTICITY; PRICES;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Currently, a system that is called demand response programs is being introduced among various countries. Demand Response Program (DRP) can be defined as the incentive payments designed to induce lower electricity use at times of high wholesale market prices or when system reliability is jeopardized [1]. It is expected that Demand response can prevent the price spike and at the same time, improve the reliability of electricity supply. It is usually called the incentive-based demand response program if it is designed for the purpose of Improving Supply reliability and is called as the price-based demand response program for the purpose of preventing price spike. The Studies of demand response are under the assumption that the customers' characteristics are all identical and they are symbolized as a demand-price elasticity matrix till now. This paper proposed a variety of reliability indices to meet the customer need of different reliability indices represented by using Reliability Sensitivity matrix
引用
收藏
页码:91 / +
页数:2
相关论文
共 50 条
  • [41] Optimal scheduling of household appliances for smart home energy management considering demand response
    Lu, Xinhui
    Zhou, Kaile
    Chan, Felix T. S.
    Yang, Shanlin
    NATURAL HAZARDS, 2017, 88 (03) : 1639 - 1653
  • [42] A stochastic security approach to energy and spinning reserve scheduling considering demand response program
    Partovi, Farzad
    Nikzad, Mehdi
    Mozafari, Babak
    Ranjbar, Ali Mohamad
    ENERGY, 2011, 36 (05) : 3130 - 3137
  • [43] Demand response scheduling algorithm for smart residential communities considering heterogeneous energy consumption
    Fan, X. M.
    Li, X. H.
    Ding, Y. M.
    He, J.
    Zhao, M.
    ENERGY AND BUILDINGS, 2023, 279
  • [44] Demand response scheduling based on blockchain considering the priority of high load energy enterprises
    Zhu, Xiangbo
    Liu, Yu
    Cao, Yang
    Jiao, Zhen
    ENERGY REPORTS, 2023, 9 : 992 - 1000
  • [45] Optimal Scheduling of Virtual Power Plant with Flexibility Margin Considering Demand Response and Uncertainties
    Tan, Yetuo
    Zhi, Yongming
    Luo, Zhengbin
    Fan, Honggang
    Wan, Jun
    Zhang, Tao
    ENERGIES, 2023, 16 (15)
  • [46] Optimal scheduling of household appliances for smart home energy management considering demand response
    Xinhui Lu
    Kaile Zhou
    Felix T. S. Chan
    Shanlin Yang
    Natural Hazards, 2017, 88 : 1639 - 1653
  • [47] Risk-Based Stochastic Scheduling of Resilient Microgrids Considering Demand Response Programs
    Vahedipour-Dahraie, Mostafa
    Rashidizadeh-Kermani, Homa
    Anvari-Moghaddam, Amjad
    IEEE SYSTEMS JOURNAL, 2021, 15 (01): : 971 - 980
  • [48] An Economic Scheduling Strategy of Photovoltaic Storage Micro-grid Considering Demand Response
    Liu, Rundong
    Zhang, Sen
    Zhao, Yincheng
    Ma, Haojie
    Chen, Luan
    Hu, Weihao
    Tang, Ming
    Zhan, Wei
    Zhou, Qingjia
    2024 6TH ASIA ENERGY AND ELECTRICAL ENGINEERING SYMPOSIUM, AEEES 2024, 2024, : 248 - 253
  • [49] Optimal Demand Response Scheduling With Real-Time Thermal Ratings of Overhead Lines for Improved Network Reliability
    Kopsidas, Konstantinos
    Kapetanaki, Alexandra
    Levi, Victor
    IEEE TRANSACTIONS ON SMART GRID, 2017, 8 (06) : 2813 - 2825
  • [50] Optimal Scheduling of Integrated Energy System Considering Hydrogen Blending Gas and Demand Response
    Zheng, Zijie
    Xiwang, Abuduwayiti
    Sun, Yufeng
    ENERGIES, 2024, 17 (08)